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The genetic architecture of type 2 diabetes

Christian Fuchsberger, +300 more
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TLDR
Large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes, but most fell within regions previously identified by genome-wide association studies.
Abstract
The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes.

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Citations
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Mechanisms of Type 2 Diabetes Risk Loci.

TL;DR: Efforts to fully define the mechanisms of T2DM risk loci are just beginning, and continued identification of risk mechanisms will benefit from combining genetic fine-mapping with detailed phenotypic association data, high-throughput epigenomics data from diabetes-relevant tissue, functional screening of candidate genes and genome editing of cellular and animal models.
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Type 2 Diabetes: Multiple Genes, Multiple Diseases.

TL;DR: Incorporation of genetics into classification schemas will require additional research but has the potential to improve the understanding and management of T2D, both as a single disease and as a part of an integrated metabolic disease network.
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Novel association of TM6SF2 rs58542926 genotype with increased serum tyrosine levels and decreased apoB-100 particles in Finns

TL;DR: A glutamate-to-lysine variant (rs58542926-T) in transmembrane 6 superfamily member 2 (TM6SF2) is associated with increased fatty liver disease and diabetes in conjunction with decreased cardiovascular disease risk as discussed by the authors.
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Pharmacoepigenetics and Toxicoepigenetics: Novel Mechanistic Insights and Therapeutic Opportunities.

TL;DR: An update on the field is provided, with an emphasis on the novel therapeutic opportunities made possible by epidrugs, and it is important to note that many technical pitfalls, such as the nondeconvolution of methylcytosine and hydroxymethylcytose, compromise epigenetic analyses and the interpretation of results.
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Genes that make you fat, but keep you healthy.

TL;DR: Current genetic association studies are reviewed to expand insights into the biology of MHO/MONW phenotypes, and at least four genetic loci were identified through genome‐wide association studies for body fat percentage of which the BF%‐increasing allele was associated with a protective effect on glycemic and lipid outcomes.
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